MishraKhushbu

In Python access specifiers doesn't exist.Beacause it's considered as we all are adults here I mean if developerdoesn't want to aceess
a variable why will he.
In case if some variable needs to private it is initiated with '__'.
The main concept behind not having any of those logic is because, We used to have those access specifiers so 
that out side classes will not be able to use the attribute of a class. But unless the developer will not try to 
access a class within another class, They are not going to be used like that. 
So default is public anyone can access any method anywhere.

But, You can privatize them in a different and more logical way. Using _ or __ .
__ can be used to define private attributes in a class. by default we define all variable names as words, 

MishraKhushbu

What is Exception?
An exception is an error that happens during execution of a program. When that
error occurs, Python generate an exception that can be handled, which avoids your
program to crash.
Why use Exception?
Exceptions are convenient in many ways for handling errors and special conditions
in a program. When you think that you have a code which can produce an error then
you can use exception handling
Raising an exception breaks current code execution and returns the exception
back until it is handled.

MishraKhushbu

http://res.cloudinary.com/dyd911kmh/image/upload/c_scale,f_auto,q_auto:best,w_700/v1512740202/Template_2_oxrskq.png
Data structures(list,tuple,strings,dictionary,sets)
===========================================================
Diff between tuple and sets
tuple:Immutable type,can contain dubplicates also defined in() whereas indexed
Sets:Mutable type,cannot contain dubplicates and defined in {}
   empty set has to define like

MishraKhushbu

http://www.comlab.hut.fi/opetus/238/lecture7_RadioInterfaceProtcols.pdf

MishraKhushbu

Since Python dictionary stores key value pairs, it uses hashing operations to store the values. 
It is not necessary for the hash values to be in sorted order. 
So when you print the dictionary the values are displayed on the basis of hash values and so python’s dictionary is un ordered. 
If you want python dictionaries in sorted order, you can use sorted() function.

If want to use ordered dict in python we can use "ordereddict" module in short.
from _ordereddict import ordereddict
kio = ordereddict()
kvio = ordereddict(kvio=True)
# without relax unordered initalisation is not allowed

MishraKhushbu

http://www.techtrained.com/paging-procedure-lte/

MishraKhushbu

https://www.youtube.com/watch?v=4ht22ReBjno
https://www.youtube.com/watch?v=TvnZTi_gaNc
https://www.youtube.com/watch?v=lcQfQRDAMpQ

MishraKhushbu

JSON - Python has a JSON module that will help converting the datastructures to JSON strings. 
Use the import function to import the JSON module.
import json
student = {"101":{"class":'V', "Name":'Rohit',  "Roll_no":7},
           "102":{"class":'V', "Name":'David',  "Roll_no":8},
           "103":{"class":'V', "Name":'Samiya', "Roll_no":12}}
print(json.dumps(student));
Output:
{"103": {"class": "V", "Name": "Samiya", "Roll_no": 12}, 
"102": {"class": "V", "Name": "David", "Roll_no": 8}, 

MishraKhushbu

If you are using python 2, then you can add a comma after the print function like this:

for i in range(10):
    print i, # <- notice the comma at the end
will output:

0 1 2 3 4 5 6 7 8 9
In python 3, print is now a function and will take an argument, called end like this:

print(i, end = " ")

MishraKhushbu

Multiprocessing Vs Multithreading :
  Multiprocessing is when the part of program can be executed by separated processes.
  
The cost of multiprocessing is really high.

MultiThreading:
  The main program is divided into sub threads.
  Here to decide the number of thread is a big challenge , taking more number of threads can deduce ur latency since
  thread concurrency has limit , after a limit it slows down the process.